In this paper, we present a concept base novel architecture for intelligent energy efficient applications using Internet of Things. This architecture provides the user-friendly and compatible environment, by predicting the set- point using machine learning techniques. We conduct a real-time implement on the testbed to verify the correctness of the system. Moreover, we have used three machine learning techniques (support vector machine, k-nearest neighbor, and linear regression) to predict the set-point for all the beneficiaries. We found that these techniques give up to 87.41976% accuracy for prediction of set-point. Additionally, we observe that with the use of this mechanism we can save up to 20% electricity consumption.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Energy Efficient Smart Working Environment Using Internet of Things


    Beteiligte:
    Vikash (Autor:in) / Mishra, Lalita (Autor:in) / Chouhan, Sajan D. (Autor:in) / Varma, Shirshu (Autor:in)


    Erscheinungsdatum :

    01.04.2019


    Format / Umfang :

    21576593 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Smart Transportation Using Internet of Things (IoT)

    Gurung, Tanishka / Swami, Siddharth / Singh, Rajesh et al. | Springer Verlag | 2025


    Internet of Things Smart Home Ecosystem

    Zemrane, Hamza / Baddi, Youssef / Hasbi, Abderrahim | Springer Verlag | 2019


    Use of the Internet of Things in the Business Environment to Smart Business

    Húdik Martin / Koman Gabriel / Imppola Jorma Jaakko et al. | DOAJ | 2019

    Freier Zugriff

    INTERNET OF THINGS-BASED SMART STORAGE UNITS

    SHARMA RADHIKA / SUNDARARAJAN MUKUNDAN / SHETTY SHILPA | Europäisches Patentamt | 2022

    Freier Zugriff

    Energy-Efficient Internet of Things Solution for Traffic Monitoring

    Hoch, Thomas / Kopetzky, Theodorich | Springer Verlag | 2022

    Freier Zugriff